Results 51 to 60 of about 16,448 (360)
Cross-Saturation Effects in IPM Motors and Related Impact on Sensorless Control [PDF]
Permanent-magnet-assisted synchronous reluctance motors are well suited to zero-speed sensorless control because of their inherently salient behavior. However, the cross-saturation effect can lead to large errors on the position estimate, which is based ...
Guglielmi, Paolo +2 more
core +2 more sources
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Dual three–phase synchronous reluctance motors (DTP–SynRM) have the advantages of simple structure, high power density, fast dynamic response, and small torque ripple, and have broad application prospects in flywheel batteries.
Yonghong Huang +3 more
doaj +1 more source
Steady-state analysis and stability of synchronous reluctance motors considering saturation effects [PDF]
This paper investigates the influence of the magnetic saturation on the performance of a Synchronous Reluctance Motor (SynRM) at steady-state. In addition, the stability limits for the SynRM are studied using a suggested more accurate method.
Ibrahim, Mohamed +2 more
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
In this paper, the equivalent reluctance network model (ERNM) is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor (PMASynRM) and calculate no-load air-gap magnetic field and electromagnetic torque ...
Changbin Li +5 more
doaj +1 more source
Comparison of a Reduced-Order Observer and a Full-Order Observer for Sensorless Synchronous Motor Drives [PDF]
Two back-electromotive-force (EMF)-based position observers are compared for motion-sensorless synchronous motor drives: the reduced-order observer and the adaptive full-order observer. A stabilizing gain is proposed for the adaptive full-order observer,
Harnefors, Lennart +3 more
core +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Autism Spectrum Disorder Among Gender‐Diverse Children and Adolescents: A National Cohort Study
ABSTRACT Autism spectrum disorder (ASD) is more prevalent in transgender and gender‐diverse (TGD) individuals than in the general population, yet the specific developmental pathways within and clinical outcomes of this intersection are insufficiently understood.
Erez Topaz +7 more
wiley +1 more source
Deep Reinforcement Learning-Based Controller for Field-Oriented Control of SynRM
Synchronous reluctance motors offer several advantages that make them suitable for use in electric vehicle traction systems. Motor-drive systems constitute the most significant share of the energy consumption of electric vehicles.
Erdal Kilic
doaj +1 more source

